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Claim · model-written summary

Machine learning models outperformed linear models in capturing nonlinear dependencies.

Taxon
soybeanGlycine maxe1
Outcome
capturing nonlinear dependenciese0
Direction
outperformede0
Comparator
linear modelse0

Verbatim

e0

“The machine learning models provided flexible variable selection and outperformed linear models in capturing nonlinear dependencies”

✓ located verbatim in the source · abstract, characters 779–910
t0

“Interpretable multi-omics machine learning reveals drought-driven shifts in plant-microbe interactions”

✓ located verbatim in the source · title, characters 0–102
e1

“198 soybean accessions grown under both control and drought conditions”

✓ located verbatim in the source · abstract, characters 427–497

Title

Interpretable multi-omics machine learning reveals drought-driven shifts in plant-microbe interactions

Hayato Yoshioka; Pavla Debeljak; Soizic Prado; et al. Environmental Microbiome 2026. doi:10.1186/s40793-026-00883-x

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